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Research

Research Topics

  • Applied machine learning, e.g., deep neural networks, bayesian networks, random forests
  • Computer vision such as multimodal detection, localization and recognition of people, objects and events, as well as industrial visual and multimodal material inspection.
  • Data Mining of multimodal / mixed signal data (e.g. production data)
  • Indexing and search in image, video and multimodal documents

Current Projects

Deep 3D Athletics
Deep Sports Pose
Deep Skijump Pose
Scene Graph Generation
Interactive Segmentation
3D Localization in Ball Sports

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